Deep Learning
Calibration Model for
PurpleAir PM2.5 Measurements: Comprehensive Investigation of the PurpleAir
Network
10.1016/j.atmosenv.2025.121118 · doi-reference
Low-Cost
Sensor Performance Intercomparison,
Correction Factor Development, and 2+ Years of Ambient PM2.5 Monitoring
in Accra, Ghana
10.1021/acs.est.2c09264 · doi-reference
Incorporating Low-Cost
Sensor Measurements into High-Resolution PM2.5 Modeling
at a Large Spatial Scale
10.1021/acs.est.9b06046 · doi-reference
Practical Considerations for Using
Low-Cost Sensors to Assess Wildfire Smoke Exposure in School and Childcare
Settings
10.1038/s41370-024-00677-8 · doi-reference
Distinct Impacts
of
Light and Heavy Precipitation on PM2.5 Mass Concentration in Beijing
10.1029/2019ea000717 · doi-reference
Tutorial:
Guidelines for Implementing Low-Cost Sensor Networks for Aerosol Monitoring
10.1016/j.jaerosci.2021.105872 · doi-reference
Correction and Accuracy
of PurpleAir PM2.5 Measurements for Extreme Wildfire Smoke
10.3390/s22249669 · doi-reference
Performance Evaluation
of the Active-Flow Personal DataRAM PM2.5 Mass Monitor (Thermo Anderson
pDR-1200) Designed for Continuous Personal Exposure Measurements
10.1016/j.atmosenv.2004.03.007 · doi-reference
Characterization
of Indoor and Outdoor Urban Particle and Gas Pollution at Neighborhood
Scale in Philadelphia, Pennsylvania
10.1016/j.envpol.2026.128362 · doi-reference
Long-Term
Assessment of PurpleAir
Low-Cost Sensor for PM2.5 in California, USA
10.3390/pollutants3040033 · doi-reference
Evaluation and Correction of PurpleAir
Temperature and Relative Humidity Measurements
10.3390/atmos15040415 · doi-reference
Unveiling
the Limits of Existing Correction Factors for a Low-Cost PM2.5 Sensor
in Cold Environments and Development of a Tailored Solution
10.1021/acsestair.5c00018 · doi-reference
Calibration of PurpleAir Low-Cost
Particulate Matter Sensors: Model Development for Air Quality under
High Relative Humidity Conditions
10.5194/amt-17-6735-2024 · doi-reference
Measurements of PM2.5 with PurpleAir under
Atmospheric Conditions
10.5194/amt-13-5441-2020 · doi-reference
Evaluation
of Calibration Approaches for Indoor Deployments of PurpleAir Monitors
10.1016/j.atmosenv.2023.119944 · doi-reference
Retrieval of Bulk
Hygroscopicity
from PurpleAir PM2.5 Sensor Measurements
10.5194/amt-18-3135-2025 · doi-reference
Fine Particle
Mass Monitoring with
Low-Cost Sensors: Corrections and Long-Term Performance Evaluation
10.1080/02786826.2019.1623863 · doi-reference
Development and
Application of a
United States-Wide Correction for PM2.5 Data Collected
with the PurpleAir Sensor
10.5194/amt-14-4617-2021 · doi-reference
Size-Resolved Field Performance of
Low-Cost Sensors for Particulate Matter Air Pollution
10.1021/acs.estlett.3c00030 · doi-reference
Performance Assessment of Two Low-Cost PM2.5 and PM10 Monitoring
Networks in the Padana Plain (Italy)
10.3390/s24123946 · doi-reference
Calibration of Low-Cost
PurpleAir Outdoor Monitors Using an Improved Method of Calculating
PM2.5
10.1016/j.atmosenv.2021.118432 · doi-reference
Field Evaluation of Low-Cost PM Sensors
(Purple Air PA-II) Under Variable Urban Air Quality Conditions, in
Greece
10.3390/atmos11090926 · doi-reference
Efficacy of Low-Cost
Sensor Networks at Detecting Fine-Scale Variations in Particulate
Matter in Urban Environments
10.3390/ijerph20031934 · doi-reference
Laboratory Evaluation
of Low-Cost PurpleAir PM Monitors and in-Field Correction Using Co-Located
Portable Filter Samplers
10.1016/j.atmosenv.2019.117067 · doi-reference
Selecting Data Analytic
and Modeling
Methods to Support Air Pollution and Environmental Justice Investigations:
A Critical Review and Guidance Framework
10.1021/acs.est.1c01739 · doi-reference
Can Commercial
Low-Cost Sensor Platforms Contribute to Air Quality Monitoring and
Exposure Estimates?
10.1016/j.envint.2016.12.007 · doi-reference
Review of
the Performance of Low-Cost Sensors for Air Quality Monitoring
10.3390/atmos10090506 · doi-reference
Advances in Air Quality Research – Current and
Emerging Challenges
10.5194/acp-22-4615-2022 · doi-reference
